AI workshops, sprints, advisory, and talks for teams shipping practical AI products.
I co-founded Klu.ai, an LLM app evaluation and optimization platform. Before that I led product at Productboard, product and design at Freeletics, and UX programs at Amazon. The through-line is simple: I help teams turn messy product ambition into clear decisions and work that can actually ship.
If your question is what should we build first? start with the strategy workshop.
If your question is how do product, design, and engineering get fluent enough to work on this together? start with the bootcamp + sprint.
If your question is we are already moving, but need a better decision this week use advisory.
If your question is how do we raise the baseline for a broader group quickly? book a talk.
Turn a pile of AI ideas into a short list of funded experiments, owners, and next stepsFor teams that need clearer AI priorities and real next steps
Half-day or full-day, remote or onsite
Learn how LLMs actually behave, then apply that knowledge to a real product problem the same dayFor cross-functional teams that need practical LLM fluency fast
Usually a full day, remote or onsite
Bring one hard product or AI decision and leave with a better answer plus written rationaleFor teams that need a better product or technical decision this week
60 or 120 minutes, one-off or recurring
Practical AI talks that leave teams with sharper questions, clearer language, and less hypeFor offsites, leadership groups, and product orgs that need sharper AI judgment
Live remote, prerecorded with Q&A, or onsite
I try to kill weak ideas early, force tradeoffs into the open, and leave teams with something they can use the next day.
The useful overlap is product judgment, design taste, and real operating experience. I've worked across early-stage building, enterprise product, consumer scale, and AI-native tooling. That usually means I can help a team narrow options quickly without pretending the hard parts are simple.
Remote works well for advisory and many workshops. Onsite is great when you need deep alignment across a larger group.
A short context doc, current goals, key workflows, and any relevant customer research, support logs, or existing prototypes.
Yes.
Yes, either as follow-up advisory sessions or by working directly with the team on execution and quality.
I'm usually in Asia/Seoul time, but I keep overlap with US and Europe for calls and sessions.